Comparing Least-Squares Fit and Least Absolute Deviations Fit

The Demonstration compares the least-squares fit method and the least absolute deviations fit method. A straight line is fitted to a set of data points. In the case of the least-squares fit the straight line is obtained by minimizing the sum of the squares of the residuals which are the deviations of the data points from the line. In the case of the least absolute deviations fit the straight li;

Linear and Quadratic Curve Fitting Practice - Wolfram Demonstrations Project

Linear State Estimation Using a Weighted Least-Squares Method - Wolfram Demonstrations Project

Least Squares Fitting -- from Wolfram MathWorld

Model Fit for Linear Regression

Least squares fitting with kmpfit — Kapteyn Package (home)

Overview of Curve Fitting Models and Methods in LabVIEW - NI

Least-Squares Regression, Line Formula, Method & Examples - Lesson

Linear and Quadratic Curve Fitting Practice - Wolfram Demonstrations Project

Linear and Quadratic Curve Fitting Practice - Wolfram Demonstrations Project